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作 者:吴凌杰 陈吉锋 蓝蕾 严峻峰 徐晓桐 李阳 Wu Lingjie;Chen Jifeng;Lan Lei;Yan Junfeng;Xu Xiaotong;Li Yang(Information Center of Zhejiang Earthquake Agency,Zhejiang Earthquake Agency,Hangzhou 310013,China;State Key Laboratory for the Diagnosis and Treatment of Infectious Diseases,The First Affiliated Hospital,School of Medicine of Zhejiang University,Hangzhou 310013,China)
机构地区:[1]浙江省地震局,浙江省地震局信息中心,杭州310013 [2]浙江大学医学院附属第一医院,传染病重症诊治全国重点实验室,杭州310003
出 处:《震灾防御技术》2024年第4期837-849,共13页Technology for Earthquake Disaster Prevention
基 金:中国地震局地震应急与信息青年重点任务(CEAITNS202322);浙江省地震局智慧地震信息服务研究创新团队。
摘 要:信息化是推进地震现代化建设的强力引擎。当前,面对日益复杂的信息网络系统,有效识别网络关键节点和评估网络鲁棒性,对于提高站网运行能力和规划网络建设具有重要现实意义。首先,基于浙江地震信息网络实际运行数据,对网络进行路由器级建模;然后,与小世界网络和无标度网络进行对比,分析其表现的拓扑结构特征;其次,结合复杂网络统计特性和地震业务特性,构建关键节点评价指标体系,并基于主观和客观维度设置指标权重,采用理想逼近排序法,综合评价各节点重要程度;最后,模拟不同攻击方式评估网络的鲁棒性。研究结果表明,相较于传统方法,本研究建立的关键节点评价指标体系和权重计算方法更合理,评价结果更准确;浙江地震信息网络为无标度网络,对蓄意攻击具有脆弱性,但对随机攻击具有较强的鲁棒性。Informatization plays a crucial role in advancing seismic modernization.With the increasing complexity of network structures,it is essential to develop and enhance station networks.This study focuses on identifying key nodes and evaluating the robustness of such networks.Using the Zhejiang Seismic Network as a case study,we first developed a model at the router level.We then compared this network with small-world and scale-free networks to analyze its topological characteristics.Next,an evaluation system for key nodes was established by assigning weights based on both subjective and objective criteria.The ideal approximation ranking method was employed to comprehensively assess the importance of each node,taking into account the specific characteristics of complex networks and earthquake-related operations.Finally,network robustness was tested through simulated network attacks.The results indicate that the key node evaluation system and weight calculation method proposed in this study are both reasonable and accurate.The Zhejiang Seismic Network was found to be a scale-free network,vulnerable to deliberate attacks but highly resilient to random attacks.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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